Many women are only diagnosed with breast cancer after they present to a doctor with symptoms. A new study points out that early detection through screening leads to improved outcomes.
To lower the incidence of spine issues, bus stops across Croatia have been transformed to let people check their posture. The goal is to raise awareness and combat reluctance to see a physiotherapist.
Despite their improving diagnostic accuracy, medical AI systems are often met with skepticism by radiologists. Their patients, however, seem more inclined to embrace this technology, a study shows.
A new device for people with or without medical training could be used as an easier, more forgiving alternative to stethoscopes to accurately detect valvular heart disease (VHD).
3 out of 10: Mammography screening has been shown to be effective in reducing breast cancer mortality. Still, many cancers are diagnosed between screening rounds, a new study shows.
A research project investigating the genetics and health of volunteers from the Hebrides, Shetland or Orkney shows how distinct genetic populations can benefit from tailored screening programmes.
Screening for colorectal cancer has proven effective for reducing mortality, but response rates are lacking. A new study finds that putting on the pressure can provide the necessary encouragement.
A new study reveals that AI can accurately rule out negative low-dose CT (LDCT) scans, potentially reducing the workload of radiologists in lung cancer screening by up to 79%.
AI-supported screening for breast cancer can detect more cancer cases compared with traditional screening, and find more invasive cancers at an early stage, results from the MASAI trial indicate.
A sensor, similar to glucose monitoring devices, detects lung cancer biomarkers from a blood sample in just 40 minutes. The technology has potential to identify at-risk patients and tailor treatments.
Point-of-care diagnostics based on a combination of mobile-sized scanners and artificial intelligence (AI) are helping save the lives of women in low-resource settings. The AI technique is being applied in Kenya and Tanzania to deliver screening for cervical cancer – now the leading cause of cancer-related deaths in women in that region and a bigger cause of death than childbirth.
Late-stage breast cancer patients are more often affected by brain metastases than previously believed, a new study finds. The researchers suggest that MRI screening guidelines should reflect this.
Analyses of self-tests for human papillomavirus (HPV) can be used to divide HPV-positive women into three risk groups, according to a new study. This could enhance cervical cancer screening.
As new research shows, low-dose chest computed tomography (CT) can identify coronary artery calcium, a strong risk factor for coronary artery disease (CAD), in patients without cardiac symptoms.
Kidney cancer is relatively rare, so dedicated screening programmes would not be cost-effective. Combined with lung cancer screening, however, this would be much more feasible, a new study shows.
Mammography can lead to “false positives,” meaning they do not result in a breast cancer diagnosis. This may discourage some women from future screenings, according to a new study.
Many patients with Duchenne muscular dystrophy (DMD) suffer from neurobehavioral difficulties that can significantly impact quality of life. A new screening tool shows promise for assessing this.
Artificial Intelligence will be a critical component in ensuring a Europe-wide lung cancer screening programme can achieve its potential, according to speakers at a special ECR 2024 session. Delegates heard that the SOLACE project (Strengthening the screening of Lung Cancer in Europe) will be supported by AI in terms of workflow, diagnostics, and image and data analysis.
Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening performance and reduced the rate of false-positive findings.
